A data-quality checker and repair workflow for a library of research papers. It checks metadata and files such as titles, authors, abstracts, years, journals, DOIs, and Markdown copies; a DOI is a standard identifier for a research publication.

Use it to audit a paper library, find duplicate DOIs or missing metadata, diagnose filename and title problems, repair confirmed records, and rebuild the search index.

It finds missing or conflicting paper information before it causes search and indexing problems. It can investigate suspicious title mismatches and preview or apply metadata repairs.

How ZimoLiao/scholaraio configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to ZimoLiao/scholaraio. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/ZimoLiao/scholaraio/main/.claude/skills/audit/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/ZimoLiao/scholaraio

Made for: Claude Code.

Or install scholaraio, the plugin that ships this one along with the rest of its 44 skills, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/zimoliao/scholaraio/audit/github.svg)](https://agentmods.dev/skills/zimoliao/scholaraio/audit)

Your own site

<a href="https://agentmods.dev/skills/zimoliao/scholaraio/audit"><img src="https://agentmods.dev/badge/skills/zimoliao/scholaraio/audit/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/zimoliao/scholaraio/audit"><img src="https://agentmods.dev/badge/skills/zimoliao/scholaraio/audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 733 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00034	$0.00733
Opus 5.5	$0.00014	$0.00293
Sonnet 5.5	$0.00007	$0.00147
Haiku 4.5	$0.00003	$0.00073

Measured 2mo ago against content hash 809d2d935a8c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/audit/SKILL.md · 67 lines

What it actually says

论文审计

检查已入库论文的数据质量。分阶段：规则化检查（自动）+ LLM 深度诊断（对可疑项）+ 自动修复。

阶段一：规则化检查

scholaraio audit [--severity error|warning|info]

问题按严重程度分类：

错误：缺少标题、缺少 MD 文件、JSON 解析失败、DOI 重复
警告：缺少 DOI/摘要/年份/作者/期刊、MD 过短、标题不一致、文件名年份不匹配
提示：文件名不符合规范格式

阶段二：LLM 深度诊断（title_mismatch 专项）

对每篇 title_mismatch 论文，用 Read 工具读取 meta.json 和 paper.md（前 80 行），提取最像标题的候选（不只看首个 H1），判断：

MD 正文的实际主题/标题是否与 JSON 元数据一致
无害（封面/前言页、MinerU 标题识别问题）vs 真正的内容错配

阶段三：修复

对确认的错配，使用 repair 命令：

# 先 dry-run 预览
scholaraio repair "<paper-id>" --title "正确标题" [--author "一作"] [--year YYYY] [--doi "10.xxx/..."] --dry-run

# 确认后执行
scholaraio repair "<paper-id>" --title "正确标题" [--author "一作"] [--year YYYY] [--doi "10.xxx/..."] [--no-api]

# 修复后重建索引
scholaraio pipeline reindex

检查规则

规则	级别	说明
`missing_title`	error	缺少标题
`missing_md`	error	JSON 无对应 MD 文件
`duplicate_doi`	error	DOI 重复
`missing_doi`	warning	缺少 DOI（document / patent 等非论文类型通常不报）
`missing_abstract`	warning	缺少摘要
`title_mismatch`	warning	JSON 标题与 MD 前 80 行里的标题候选不一致
`nonstandard_filename`	info	文件名不符合规范格式

补充判断口径：

paper_type 为空时，仍按普通论文保守检查 missing_doi / missing_journal
dissertation、document、technical-report、lecture-notes 等非 article 类型，优先警惕封面/前言页导致的 title_mismatch 误报

示例

用户说："帮我检查一下论文库有没有问题" → 执行阶段一规则化检查

用户说："深度检查" → 执行阶段一 + 阶段二（LLM 逐篇诊断 title_mismatch）

用户说："修复那些错配的论文" → 执行阶段三

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 67 lines · 34 tokens per session scan A 809d2d935a8c

Subscribe to this mod's changes

audit is a skill published in the GitHub repository ZimoLiao/scholaraio (584 stars, last pushed 10d ago), licensed MIT. It adds 34 tokens to every session and 733 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Analytics and metrics Research agentic-science agentic-search ai-agent computational-research research-workflow scientific-computing

audit next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
auditZimoLiao/scholaraio	Skill	584	10d ago	MIT	A	34	Claude Code
thoughtdagchenxiachan/thoughtdag	Skill	742	5d ago	MIT	B	39	Claude Code, Codex
autosearch:channel-selection0xmariowu/Autosearch	Skill	54	7d ago	MIT	A	87	Claude Code
autosearch:context-retention-policy0xmariowu/Autosearch	Skill	54	7d ago	MIT	A	89	Claude Code
autosearch:delegate-subtask0xmariowu/Autosearch	Skill	54	7d ago	MIT	A	71	Claude Code
autosearch:experience-compact0xmariowu/Autosearch	Skill	54	7d ago	MIT	A	69	Claude Code
autosearch:graph-search-plan0xmariowu/Autosearch	Skill	54	7d ago	MIT	A	72	Claude Code

scholaraio: Skill for Claude Code